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AI Ethics Research Lead

FutureWorks Labs
Austin
Estimated Salary
USD 160.000 – USD 210.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the ethical frontier of artificial intelligence at FutureWorks Labs. We're seeking an AI Ethics Research Lead to architect responsible frameworks for 2026's autonomous systems. Join our interdisciplinary team in Austin where you'll pioneer governance protocols for next-gen AI that balances innovation with human values. This pivotal role requires visionary thinking to address emerging ethical challenges in machine learning, robotics, and quantum computing.

As a thought leader in our Austin innovation hub, you'll collaborate with Fortune 500 partners and academic institutions to develop preemptive ethical guidelines. Your work will directly influence how AI is deployed across healthcare, finance, and critical infrastructure systems by 2026.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous AI systems
  • Lead cross-functional research on bias mitigation and algorithmic transparency
  • Develop predictive models for emerging AI ethical challenges
  • Partner with engineering teams to embed ethical safeguards into AI development lifecycles
  • Present research findings at global AI ethics summits and publish in peer-reviewed journals
  • Advocate for responsible AI adoption in policy discussions and industry standards

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with 5+ years AI ethics experience
  • Proven track record publishing in top-tier AI ethics or ML conferences (NeurIPS, ICML)
  • Expertise in fairness metrics, interpretability techniques, and bias detection algorithms
  • Experience working with regulatory bodies on AI governance frameworks
  • Strong background in at least one: healthcare AI, autonomous vehicles, or financial systems ethics
  • Exceptional communication skills for translating complex concepts to diverse stakeholders

Required Skills

AI Ethics Machine Learning Governance Algorithmic Fairness Research Leadership Policy Development Quantum Computing Ethics Autonomous Systems

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